Triple
T23018639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TEACH Grant Program |
E573102
|
entity |
| Predicate | requiresFAFSA |
P150699
|
FINISHED |
| Object | yes |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: yes | Statement: [TEACH Grant Program, requiresFAFSA, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresFAFSA Context triple: [TEACH Grant Program, requiresFAFSA, yes]
-
A.
hasFinancialAid
Indicates that one entity provides or is associated with financial assistance or support to another entity.
-
B.
receivedFederalLoanGuarantees
Indicates that one entity has obtained a federal government guarantee backing a loan made to it by another entity.
-
C.
requiresGraduation
Indicates that one entity must have completed a specified level of education or obtained a graduation credential as a prerequisite for the other entity.
-
D.
requiresEducation
Indicates that performing or holding the related role, activity, or position depends on having a specified level or type of education.
-
E.
wasStateSubsidized
Indicates that an entity received financial support or subsidies from a state or government authority.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e245b764cc8190a51be76f1d9611e1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183e777cc81908c0b0bfd9d5a717c |
completed | April 29, 2026, 4:07 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9cd5488190bcd23183179f48cd |
completed | April 27, 2026, 10:34 a.m. |
| PDg | Predicate description generation | batch_69ef538b29c081908fa56ee35a1dcee7 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:52 p.m.